Version history

{
  "scope": "mouse; V1; computational model, spiking network model; PLoS computational biology",
  "claim_text": "We first demonstrate that thalamocortical feedforward (FF) and feedback (FB) stimuli arriving in the column have opposite effects, leading to net columnar excitation and inhibition respectively and r…",
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    "doi": "10.1371/journal.pcbi.1012036",
    "claim": "We first demonstrate that thalamocortical feedforward (FF) and feedback (FB) stimuli arriving in the column have opposite effects, leading to net columnar excitation and inhibition respectively and r…",
    "cite_key": "Moreni2025a",
    "evidence": "Stimulation of specific cell groups under different network regimes (e.g., spontaneous activity or sensory-evoked activity) can provide insights into the neural dynamics of cortical columns. While these protocols are challenging to perform experimentally, modelling can serve as a powerful tool for such explorations. Using detailed electrophysiological and anatomical data from mouse V1, we built a novel spiking network model of a cortical column, which incorporates pyramidal cells and three disti...",
    "effect_size": "At 700ms an constant input of 150 pA is injected to 25% of L4 pyramidal cells and 5% of PV cells.",
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    "effect_size_source_sentence": "At 700ms an constant input of 150 pA is injected to 25% of L4 pyramidal cells and 5% of PV cells."
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  "section_title": "9. Physiological signature I — recurrent amplification of weak inputs in mouse cortex; balanced-amplification regimes; ISN operation",
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